Biography
Rafael leads Genialis’ effort to integrate and mine vast and diverse sources of biomedical knowledge to realize the promise of precision medicine and therapeutic discovery. He spent nearly 20 years in biomedical research prior to Genialis, publishing on the evolution of innate immune systems, bioengineering of microbes, and genetics of development. He has also nurtured a specialty in developing software for high-throughput molecular design and analyses, co-inventing the j5 DNA assembly design automation tool (which has since been commercialized by TeselaGen Biotechnology). Rafael attended Dartmouth College and then Yale University, where he was an NSF Graduate Research Fellow. He went on to postdoctoral training in Jay Keasling’s synthetic biology group at Lawrence Berkeley National Laboratory, Joint BioEnergy Institute (JBEI), followed by a National Library of Medicine fellowship in Biomedical Informatics at Baylor College of Medicine.

AI and Data Science Showcase:
Genialis, Inc.
Genialis innovates at the nexus of biomedical data, machine learning, and expert engagement to accelerate precision therapies from the lab to patient.

Divining Predictive Signatures In Oncology With Machine Learning
Genialis is developing machine learning workflows to learn from large public compendia and proprietary drug-specific datasets to identify predictive and diagnostic biomarkers. By helping steer drugs to the appropriate cohorts, our biopharma partners run more efficient and successful development pipelines and are better able to reach patients in need.